Human-Object Interaction detection has been initially proposed in [1]}, and has been developed in two main streams: sequential methods [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]} and parallel methods [21]}, [22]}, [23]}.
However, since these works required hand-crafted post-processing, HOI detectors with transformers have been proposed to eliminate the post-processing step through an end-to-end fashioned set prediction approach [24]}, [25]}, [26]}, [27]}.
Yet, all these methods are limited to a single-scale feature map due to the complexity caused when processing multi-scale feature maps with transformer attention.
